In this paper the problem of non-parametric identification of a static system is considered in the presence of errors in both dependent and independent variables. Identification is based on the orthogonal series expansion. Errors in independent variables are modelled in two ways: as pointwise errors, and as errors caused by an averaging. Sufficient conditions for MISE consistency are proved in both cases.